Building a smart lecture-recording system using MK-CPN network for heterogeneous data sources
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3328-6
Abstract: Nowadays, lecture-recording systems play a vital role in collecting spoken discourse for e-learning. However, in view of the growing development of e-learning, the lack of content is becoming a problem. This research presents a smart… read more here.
Keywords: lecture recording; cpn network; heterogeneous data; system ... See more keywords
Monitoring of volcanic ash cloud from heterogeneous data using feature fusion and convolutional neural networks–long short-term memory
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05050-y
Abstract: Heterogeneous data have become a key issue restricting the monitoring accuracy of volcanic ash cloud and rapid application of remote sensing. In view of the characteristics of classification and heterogeneous data in volcanic ash cloud… read more here.
Keywords: ash cloud; heterogeneous data; cnn lstm; volcanic ash ... See more keywords
Uncertainty measurement for heterogeneous data: an application in attribute reduction
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-09978-y
Abstract: In the era of big data, multimedia, hyper-media and social networks are emerging, and the amount of information is growing rapidly. When people participate in the process of massive data processing, they will encounter data… read more here.
Keywords: uncertainty measurement; uncertainty; application; heterogeneous data ... See more keywords
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important
Sign Up to like & getrecommendations! Published in 2019 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2019.01.053
Abstract: Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and genetics characteristics, is potentially beneficial but presents challenges in terms of finding the best data representation for the different sources of information.… read more here.
Keywords: data sources; diagnosis; heterogeneous data; neuroimaging based ... See more keywords
Alzheimer's disease classification using cluster‐based labelling for graph neural network on heterogeneous data
Sign Up to like & getrecommendations! Published in 2022 at "Healthcare Technology Letters"
DOI: 10.1049/htl2.12037
Abstract: Abstract Biomarkers for Alzheimer's disease (AD) diagnosis do not always correlate reliably with cognitive symptoms, making clinical diagnosis inconsistent. In this study, the performance of a graphical neural network (GNN) classifier based on data‐driven diagnostic… read more here.
Keywords: neural network; diagnosis; alzheimer disease; heterogeneous data ... See more keywords
A Distributed Approach for High-Dimensionality Heterogeneous Data Reduction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2945889
Abstract: The recent explosion of data size in number of records and attributes has triggered the development of a number of Big Data analytics as well as parallel data processing methods and algorithms. At the same… read more here.
Keywords: high dimensionality; approach high; reduction; heterogeneous data ... See more keywords
Adversarial Learning Networks for FinTech Applications Using Heterogeneous Data Sources
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3100742
Abstract: The dynamic property and increasing complexity are the key challenges for modeling financial technology (FinTech)-related applications such as stock markets. Over the years, a lot of inflexible predictive strategies have been proposed for predicting stock… read more here.
Keywords: fintech applications; networks fintech; learning networks; applications using ... See more keywords
Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2846199
Abstract: Data heterogeneity can pose a great challenge to process and systematically fuse low-level data from different modalities with no recourse to heuristics and manual adjustments and refinements. In this paper, a new methodology is introduced… read more here.
Keywords: social media; methodology; remote sensing; sensing social ... See more keywords
Secure Heterogeneous Data Deduplication via Fog-Assisted Mobile Crowdsensing in 5G-Enabled IIoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3099210
Abstract: Mobile crowdsensing provides the data collection and sharing for the 5G-enabled industrial Internet of Things. However, the redundant and duplicated heterogeneous sensing data bring unnecessary heavy storage and communication overhead. In this article, we propose… read more here.
Keywords: data deduplication; via fog; heterogeneous data; fog assisted ... See more keywords
Test Report Generation for Android App Testing Via Heterogeneous Data Analysis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2023.3237247
Abstract: The rising of the Android market demands higher quality assurance of Android applications (apps) to sharpen the competitive edge, and techniques for traditional software have problems adapting for mobile apps. Android apps often require testing… read more here.
Keywords: test reports; report generation; test; heterogeneous data ... See more keywords
A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Civil Engineering"
DOI: 10.1155/2018/8370931
Abstract: 3D Visualization provides a mean for communicating different construction activities to diverse audiences. The scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the… read more here.
Keywords: ontology; construction; framework visualizing; visualization ... See more keywords